Method for evaluating information safety risk based on interval number and ideal solution

Abstract

The invention provides a method for evaluating information safety risk based on interval number and ideal solution. The method comprises the following steps of establishing a new evaluation matrix form, wherein the rows and lines of the evaluation matrix are used for respectively expressing an expert set and a factor set; presenting the expert evaluation comments in the interval number form, and filling the matrix; in addition, introducing the index of correlation degree with the ideal solution, and sequencing the authority of the expert comments by technique for order preference by similarity to ideal solution; finally, performing compound operation on the factor evaluation computed by the comprehensive expert comments and the factor weight computed by the analytic hierarchy process, so as to obtain the integral comprehensive evaluation. The method has the advantages that a model for fuzzy comprehensive evaluation based on interval number is studied, the new single factor evaluation matrix form containing more information is proposed, the information involved in the evaluation process is furthest remained by the matrix, and the defect of losing of expert information of the existing model is overcome.

Description

technical field [0001] The invention relates to an information security risk assessment method, in particular to an information security risk assessment method based on interval numbers and ideal solutions. Background technique [0002] At present, there are many methods of information security risk assessment, and the risk assessment model based on fuzzy comprehensive evaluation method belongs to one of the important types. Xie Jijian, Liu Chengping published "Fuzzy Mathematical Method and Its Application" (Fourth Edition) [M]. Wuhan: Huazhong University of Science and Technology Press, 2013: 149-164, summarizing the most basic fuzzy comprehensive evaluation model, which requires Two sets of important parameters are determined: factor evaluation and factor weight. The initial values ​​of these two groups of parameters are obtained by collecting the opinions of evaluators, which leads to subjective errors in the evaluation results. In order to improve this shortcoming, some...

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Problems solved by technology

[0004] 2) There is no individual difference analysis for the experts who provided the data, and all opinions adopt the same degree of recognition, so that more professional opinions are not taken seriously

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